consumption of nodes is a crucial factor that constrains the networks life time for Wireless Sensor Networks (WSNs). WSNs are composed of small sensors equipped with lowpower devices‚ and have limited battery power supply. The main concern in existing architectural and optimisation studies is to prolong the network lifetime. The lifetime of the sensor nodes is affected by different components such as the microprocessor‚ the sensing module and the wireless transmitter/receiver. The existing works mainly consider
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Wireless Sensor Networks “Sensor networks are the key to gathering the information needed by smart environments‚ whether in buildings‚ utilities‚ industrial‚ home‚ shipboard‚ transportation systems automation‚ or elsewhere. Recent terrorist and guerrilla warfare countermeasures require distributed networks of sensors that can be deployed using‚ e.g. aircraft‚ and have self-organizing capabilities. In such applications‚ running wires or cabling is usually impractical. A sensor network is required
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College & Research Center‚ Rajasthan‚ India‚ richa324@gmail.com Abstract: - The zigbee communication is a communication technology to connect local wireless nodes and provides high stability and transfer rate due to data communication with low power. In the nodes away from coordinator in one PAN‚ the signal strength is weak causing the network a shortage of low performance and inefficient use of resources due to transferring delay and increasing delay time and thus cannot conduct seamless communication
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Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH) M. Bani Yassein‚ A. Al-zou’bi‚ Y. Khamayseh‚ W. Mardini Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH) M. Bani Yassein‚ A. Al-zou’bi‚ Y. Khamayseh‚ W. Mardini Department of Computing Science‚ Jordan University of Science and Technology E-mail: {masadeh@just.edu.jo‚ a_zo3bi@yahoo.com‚ yaser@just.edu.jo‚ mardini@just.edu.jo } doi: 10.4156/jdcta.vol3.issue2.yassein Abstract This paper presents a new version of LEACH
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Nemo Outdoor User Training Perfecting Wireless Networks Nemo Outdoor User Training Course Contents • Nemo Outdoor introduction • Installation of Nemo Outdoor • Nemo Outdoor configuration • Introduction to Graphical User Interface • Features of Nemo Outdoor Nemo Outdoor Introduction Nemo Outdoor™ 5 currently supporting measurements on WiMAX‚ HSDPA‚ HSUPA‚ HSPA+‚ LTE‚ TD-SCDMA‚ UMA‚ CDMA2000‚ 1xEV-DO‚ TETRA‚ cdmaOne‚ GSM‚ GPRS‚ EDGE‚ DVB-H and WCDMA networks. Nemo Outdoor’s powerful platform is
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Harry Pitt Building‚ 3 Earley Gate‚ Whiteknights‚ Reading RG6 6AL‚ UK Author to whom correspondence should be addressed; E-Mail: rafael81@um.es. Received: 7 February 2012; in revised form: 14 March 2012 / Accepted: 22 March 2012 / Published: 28 March 2012 Abstract: A flood warning system incorporates telemetered rainfall and flow/water level data measured at various locations in the catchment area. Real-time accurate data collection is required for this use‚ and sensor networks improve the system
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the details on the network architecture‚ interoperability and integration‚ and different design aspects of the stick-on sensor‚ such as novel energy harvesting techniques‚ power management‚ wide operating range‚ and reliability. It is envisioned that the smart stick-on sensors shall be an enabling technology for monitoring a variety of grid assets and prove to be an essential element of the Smart Grid. Index Terms—AC-DC converters‚ energy harvesting‚ smart sensors‚ wireless networks. I. INTRODUCTION
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device. Buildings are responsible for up to 40% of energy usage. Most part of this energy is used mainly for maintaining good lighting such that the workers feel comfortable. Nowadays the newly constructed modernised or automated buildings may have lighting
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Positioning System (GPS) technology. 7. GSM technology. 8. MMC/SD card with FAT-16 & FAT-32 file system 9. MEMS accelerometer. 10. RFID/ Smart card. 11. ROBOTICS. 12. Speech recognition. 13. Finger print recognition. 14. Controller Area Network (CAN) protocol. 15. RS-485. 16. Google Android mobile OS. 17. Bio – Medical Engineering. 18. Heartbeat sensor. 19. Wi-Fi 20. Bluetooth technology. 21. RF Communication. 22. Zigbee. 23. Ethernet 24. USB interface 25. Digital Compass www
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owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. Automated Wireless Greenhouse Management System A Thesis submitted in partial fulfillment of the Requirements for the Degree of In Electronics and Computer Systems By Quan Minh Vu SCHOOL OF ENGINEERING AND ADVANCED TECHNOLOGY MASSEY UNIVERSITY PALMERSTON NORTH
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